06768nam 2201837z- 450 991058594160332120220812(CKB)5600000000483066(oapen)https://directory.doabooks.org/handle/20.500.12854/91137(oapen)doab91137(EXLCZ)99560000000048306620202208d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierHyperspectral Imaging and ApplicationsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (632 p.)3-03921-522-1 3-03921-523-X Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue "Hyperspectral Imaging and Applications" is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories with the number of papers published in every category included in its open parenthesis. 1. Data Unmixing (2 papers)2. Spectral variability (2 papers)3. Target Detection (3 papers)4. Hyperspectral Image Classification (6 papers)5. Band Selection (2 papers)6. Data Fusion (2 papers)7. Applications (8 papers) Under every category each paper is briefly summarized by a short description so that readers can quickly grab its content to find what they are interested in.History of engineering & technologybicsscTechnology: general issuesbicssc90° yaw imagingadaptive windowAfricaagroforestryAHSairborne laser scanningalgebraic multigrid methodsanomaly detectionAVIRISband expansion process (BEP)band groupingband selectionband selection (BS)band subset selection (BSS)biodiversityclass imbalanceclassificationcomposite kernelconstrained energy minimizationconstrained energy minimization (CEM)correlation band expansion process (CBEP)data fusiondata integrationdata unmixingdata-guided constraintsdeep belief networksdeep learningdeep pipelined background statisticsDunhuang siteendmember extractionensemble learningevennessfire severityGram-Schmidt orthogonalizationgraphhashing ensemblehierarchical featurehigh-level synthesisHyMaphyperspectralhyperspectral classificationhyperspectral compressionhyperspectral detectionhyperspectral imagehyperspectral image (HSI)hyperspectral image classificationhyperspectral imageryhyperspectral images (HSIs)hyperspectral imaginghyperspectral pansharpeninghyperspectral unmixingimage enhancementimage fusionimaging spectroscopyin situ measurementsintrinsic image decompositionirradiance-based methoditerative algorithmiterative CEM (ICEM)KSVDlabel propagationlinearly constrained minimum variance (LCMV)local abundancelocal summation RX detector (LS-RXD)lossy compressionmachine learningmineral mappingminimum noise fractionmultiscale spatial informationmultiscale union regions adaptive sparse representation (MURASR)nonlinear band expansion (NBE)nonnegative matrix factorizationnuclear normon-board compressionoptical spectral regionorthogonal projectionsOtsu's methodpanchromaticpanchromatic imageparallel processingpeatlandprogressive sample processing (PSP)prototype spaceraw materialreal-time processingrecursive anomaly detectionreflectance-based methodremote sensingrolling guidance filtering (RGF)rotation forestsemi-supervised learningsemi-supervised local discriminant analysissequential LCMV-BSS (SQ LCMV-BSS)sliding windowsparse codingsparse unmixingsparsenessspectral mixture analysisspectral variabilityspectral-spatial classificationsprout detectionstructure tensorsuccessive LCMV-BSS (SC LCMV-BSS)superpixelSVMtarget detectionterrestrial hyperspectral imagingtexture feature enhancementthermal infrared spectral regiontree speciestree-based ensemblevegetation typevicarious calibrationvineyardwater stressweighted fusionweighted least squares filterHistory of engineering & technologyTechnology: general issuesChang Chein-Iedt763028Song MeipingedtZhang JunpingedtWu Chao-ChengedtChang Chein-IothSong MeipingothZhang JunpingothWu Chao-ChengothBOOK9910585941603321Hyperspectral Imaging and Applications3035981UNINA